#Odoo 19.2 release notes: beautiful improvements & changes to be explored/understood, e.g. 'Field Service merged into Planning': https://t.co/9lCPMYmstb
How to configure customizable BOMs in Odoo? | Odoo #Odoo https://t.co/emy1nuEpId
nice post about ETO or Customize to Order!
Summary:
1. Create a BoM with all possible variants
2. Create a BoM from SO: add the product to the SO and from the SO line go to the product and the BoM, duplicate the BoM, move it to the first position, and adapt it. Upon confirming the SO, the MO created will be confirmed
and TOP option:
3. Create a Blank BoM at first from the list: since it does not have any components or operations, the created MO will be in Draft.
why it's nice: the same SO can generate a project that can be linked to the MO/BoM so that the hours logged for creating the BoM/Product can be tracked
Oracle just told every AI company on earth the same thing.
Your models are worthless.
Not the technology, talent or the billions spent training them.
But the data they were trained on.
Larry Ellison, the man who built Oracle into the backbone of global enterprise just dropped a bombshell.
He said ChatGPT, Gemini, Grok, and Llama, all of them are training on the exact same data.β
The entire public internet, every Wikipedia page, Reddit thread and every news article.
That means they're all converging essentially becoming the same product with different logos.β
Ellison's word for it is commodities.
But here's where it gets dangerous.
He says the real gold isn't public data, It's private data.β
The medical records in hospital systems, the financial data in bank vaults.
The supply chain secrets of every Fortune 500 and guess where most of that data already lives.
Not Google, Amazon or Microsoft but inside Oracle.β
Oracle databases hold most of the world's high value private enterprise data.
So Oracle just launched something called AI Database 26ai.β
It lets the top AI models, ChatGPT, Gemini, Grok, Llama reason directly over a company's private data, without that data ever leaving the vault.β
They're using a technique called RAG, Retrieval Augmented Generation.
The AI doesn't train on your data, it searches it in real time.β
Think about what that means.
A bank could ask AI to analyze every loan it's ever made without exposing a single customer record.
A hospital could have AI diagnose patients using its full medical history without violating HIPAA.β
A defense contractor could let AI reason across classified operations without data leaving a secure environment.β
Ellison is betting this is bigger than the training market. Bigger than the GPU boom.
Bigger than the data center buildout.β
He called it the largest and fastest growing market in history.β
The numbers back the ambition.
Oracle's remaining performance obligations just hit $523 billion.
That's contracted revenue not yet delivered and $300 billion of it comes from OpenAI alone.β
Cloud revenue hit $8 billion in a single quarter, OCI grew 66 percent and GPU revenue surged 177 percent.β
But here's the part nobody's talking about.
If private data becomes the real AI moat, then whoever controls the database controls the future of AI.β
And that's a level of power that should make everyone uncomfortable.